A New Tree Clustering Algorithm for Fuzzy Data Based on Alpha-Cuts. This paper presents a new approach to clustering fuzzy data, called Extensional Tree (ET) clustering algorithm by defining a dendrogram over fuzzy data and using a new metric between fuzzy numbers based on α-cuts.
Abstract - This paper presents a new approach to clustering fuzzy data, called Extensional Tree (ET) clustering algorithm by defining a dendrogram over ...
A New Tree Clustering Algorithm for Fuzzy Data Based on Alpha-Cuts. M. GhasemiGol, M. Sabzekar, R. Monsefi, and H. Yazdi. IC-AI, page 210-216.
This paper presents fuzzy clustering algorithm for fuzzy data based on α-cuts. A new suitable definition for distance between two arbitrary fuzzy numbers ...
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This paper presents a new approach to clustering fuzzy data, called Extensional Tree (ET) clustering algorithm by defining a dendrogram over fuzzy data and ...
This paper presents a new hierarchical tree approach to clustering fuzzy data, namely extensional tree (ET) clustering algorithm.
This paper presents a new hierarchical tree approach to clustering fuzzy data, namely extensional tree ET clustering algorithm.
A New Tree Clustering Algorithm for Fuzzy Data Based on α-cuts · Computer Science, Mathematics · 2009.
It defines a dendrogram over fuzzy data and using a new distance between fuzzy numbers based on α-cuts. The present work is based on hierarchical clustering ...
It defines a dendrogram over fuzzy data and using a new distance between fuzzy numbers based on α-cuts. The present work is based on hierarchical clustering ...